Literature DB >> 12133609

RNA isolation from soil for bacterial community and functional analysis: evaluation of different extraction and soil conservation protocols.

Angela Sessitsch1, Stephen Gyamfi, Nancy Stralis-Pavese, Alexandra Weilharter, Ulrike Pfeifer.   

Abstract

The impact of three different RNA isolation methods on the community analysis of metabolically active bacteria was determined by reverse transcription (RT) and PCR amplification of 16S rRNA genes and subsequent terminal restriction fragment length polymorphism (T-RFLP) analysis. Furthermore, soil samples were stored at different conditions in order to evaluate the effect of soil conservation methods on the outcome of the population analysis. The quality of mRNA was assessed by reverse transcription and PCR amplification of eubacterial glutamine synthetase genes. Our results indicated that the community composition as well as the abundance of individual members were affected by the kind of RNA isolation method. Furthermore, the extraction method influenced the recovery of mRNA. Lyophilization, storage at -20 degrees C as well as storage in glycerol stocks at -80 degrees C proved to be equally appropriate for the storage of soils and subsequent RNA isolation.

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Year:  2002        PMID: 12133609     DOI: 10.1016/s0167-7012(02)00065-9

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  21 in total

1.  Low pore connectivity increases bacterial diversity in soil.

Authors:  Jennifer K Carson; Vanesa Gonzalez-Quiñones; Daniel V Murphy; Christoph Hinz; Jeremy A Shaw; Deirdre B Gleeson
Journal:  Appl Environ Microbiol       Date:  2010-04-23       Impact factor: 4.792

2.  Relative and absolute quantitative real-time PCR-based quantifications of hcnC and phlD gene transcripts in natural soil spiked with Pseudomonas sp. strain LBUM300.

Authors:  Nadine J DeCoste; Vijay J Gadkar; Martin Filion
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

3.  Impact of Bt corn on rhizospheric and soil eubacterial communities and on beneficial mycorrhizal symbiosis in experimental microcosms.

Authors:  M Castaldini; A Turrini; C Sbrana; A Benedetti; M Marchionni; S Mocali; A Fabiani; S Landi; F Santomassimo; B Pietrangeli; M P Nuti; N Miclaus; M Giovannetti
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

4.  A DNA microarray platform based on direct detection of rRNA for characterization of freshwater sediment-related prokaryotic communities.

Authors:  Jörg Peplies; Christine Lachmund; Frank Oliver Glöckner; Werner Manz
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

Review 5.  Microarray applications in microbial ecology research.

Authors:  T J Gentry; G S Wickham; C W Schadt; Z He; J Zhou
Journal:  Microb Ecol       Date:  2006-08-08       Impact factor: 4.552

6.  A molecular approach to identify active microbes in environmental eukaryote clone libraries.

Authors:  Thorsten Stoeck; Alexandra Zuendorf; Hans-Werner Breiner; Anke Behnke
Journal:  Microb Ecol       Date:  2007-02       Impact factor: 4.552

7.  An efficient RNA extraction method for estimating gut microbial diversity by polymerase chain reaction.

Authors:  Seungha Kang; Stuart E Denman; Mark Morrison; Zhongtang Yu; Chris S McSweeney
Journal:  Curr Microbiol       Date:  2009-01-22       Impact factor: 2.188

8.  Rapid extraction of total RNA from an anaerobic sludge biocoenosis.

Authors:  Simon Rittmann; Peter Holubar
Journal:  Folia Microbiol (Praha)       Date:  2013-08-30       Impact factor: 2.099

9.  mRNA extraction and reverse transcription-PCR protocol for detection of nifH gene expression by Azotobacter vinelandii in soil.

Authors:  Helmut Bürgmann; Franco Widmer; William V Sigler; Josef Zeyer
Journal:  Appl Environ Microbiol       Date:  2003-04       Impact factor: 4.792

10.  Detection of viable Cryptosporidium parvum in soil by reverse transcription-real-time PCR targeting hsp70 mRNA.

Authors:  Zhanbei Liang; Ann Keeley
Journal:  Appl Environ Microbiol       Date:  2011-07-29       Impact factor: 4.792

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